Linear measurement error models for forecasting of water requirement

Water requirement forecasting methods does not consider the raw data measurement errors.This paper proposes linear measurement error model to overcome the shortcoming.Based on Matlab,the GDP(gross domestic product)and water consumption of Yangzhou from 1999 to 2006 are used to verify the rationality of the model.Comparison with the normal linear regression method shows that it is an effective water requirement forecasting model.Then water requirement forecasting is made and can provide basis for water saving planning and water resources planning.